Research And Implementation Of Wearable Internet Intelligent Blood Pressure Monitoring

Today with the improvement of people’s living standard,different levels of changes of people’s diet structure have taken place in living habits,cardiovascular disease and related risk factors present the rising trend,cardiovascular disease is the independent risk factor for hypertension disease,especially higher in the incidence of a disease in the middle-aged and old people.But with the development of science and technology,wisdom medical,wearable medical gradually comes to people’s vision,more convenient,more intelligent medical service are provided,medical wisdom is mainly with the help of the Internet technology and real-time signal processing and portable medical device such as effective means to solve the low efficiency of medical care,hospital queue,and the imbalance of the development of urban and rural medical resources problem.Based on market survey of the existing Electronic sphygmomanometer,the following problems are found.Firstly,step-down method is mostly used to extract blood pressure pulse signal,poor repeatability and low precision of the test results.Secondly,data acquisition terminal interactive mutual inductance is not strong,high intelligent degree is not enough.Thirdly,largely the hardware module is,portable performance is also not obvious.According to current situation of the above,this paper proposes a optimization algorithm based on adaptive kalman fitting,through in the booster stages of blood pressure test for effective signal extraction,we have solved the problem of poor repeatability and accuracy is not high of the test results.On the hardware selection STM32F03C8T6 is choosed to finish the signal extraction and processing,the air pump,solenoid valve,drive circuit,such as the deepening of module integration has realized,both further reducing the volume of hardware,but also improving the portability of sphygmomanometer.Finally using smart phones to finish multimodal diagnosis measurement,user test results is real-time storage and built,thus laid a good foundation for intelligent diagnosis and data sharing.In this paper,main work is as follows:(1)Based on the comparison and analysis of gaussian fitting and least squares algorithm,this paper proposes a blood pressure determination based on adaptive kalman fitting optimization algorithm.(2)Completed the hard and software design of the intelligent sphygmomanometer,on hardware part STM32F103C8T6 as the core to complete the signal acquisition and processing,real-time results are real-time transmitted to intelligent terminal through ESP8266 WIFI module.Software functions include PC real-time waveform mapping,PC data display and storage,smart phones,smart phones,end user information management side blood pressure test mode selection,smart phones and the test results show that the speech with storage,test results,and personal electronic health records management.(3)Using photoelectric detection sensor to monitor the signal of the human finger based on photoelectric displacement method to explore the signal and the corresponding relation of the human body parameters such as blood pressure,heart rate.(4)In order to bring the wearable intelligent blood pressure monitor to home blood pressure monitoring and disease prevention,lots of validation of repeatability and precision of the blood pressure monitor.